About me

I’m an Assistant Professor (Lecturer in the UK system) in Statistics in the School of Mathematical Sciences at Lancaster university. Previously, I was a Research Fellow in the Department of Statistics at London School of Economics and Political Science where I was advised by Dr Yunxiao Chen and Professor Irini Moustaki. Prior to that, I was a postdoc at the French national research institute Inria. I received my PhD in 2020 from the Department of Statistics at Umeå University, Sweden, under the supervision of Professor Marie Wiberg.

My research

My research focuses on developing flexible statistical and machine learning methods to accurately identify latent (unobserved) structures in social, behavioural and health data. I use these methods to study health inequalities, learning acquisition, fairness in educational measurement and interpretability in psychological testing. I often collaborate with domain experts from various fields, including economics, psychology, political science and the educational testing industry.

From a statistical point of view, my research is focused on developing theory, methodology and computational methods for:

  • The structural learning of (multilayer) latent factor models,
  • multivariate outlier detection,
  • model-based clustering and classification,
  • change-point detection for latent factor models,
  • statistical inference for regularised latent factor models.

Please see the Research showcase page for some examples of my research.

If you are a student interested in pursuing a PhD under my supervision, please feel free to send me an email.

News

  • January-February, 2025: I am visiting the Grupo de Análisis para el Desarrollo in Lima, Peru.
  • November, 2024: Recipient of an ODA Early Career International Fellowship to initiate a research project based on the Young Lives study.
  • November, 2024: I am delivering a 3-week online course on statistical learning for the African Institute for Mathematical Sciences in Cameroon.